Data Science Externships Mentor (PT)

Description About TripleTen TripleTen is a service that empowers individuals, regardless of their prior experience, to embark on the exciting and challenging journey of mastering tech professions. Our bootcamps focus on training students in software engineering, data science, business intelligence analytics, and QA engineering in a feasible and accessible way, ultimately leading them to thrive in a new career. Our mission is to ensure that every student has the opportunity to successfully master a new profession, find their purpose, and become a valuable member of the tech industry. TripleTen is a remote first organization mirroring our students who complete our bootcamps in a remote environment **Please submit all Resumes or CV's in English** What you will do Mentor and guide Data Science graduates through their externship projects. Provide technical expertise in Data Science tools and practices including Python, Manage multiple projects and students simultaneously, ensuring timely delivery and high-quality outcomes. Collaborate with other mentors and team members to create a supportive and effective learning environment. Evaluate projects, identify key deliverables, and develop solutions independently. Lead and organize project tasks, ensuring clear and concise documentation, test plans, and reports. Adapt teaching methods to accommodate different learning styles and paces of students. Demonstrate strong presentation skills during team meetings, hold effective 1:1 meetings, and prepare final presentations for stakeholders. Requirements Demonstrated ability to evaluate projects, identify key deliverables, and develop solutions independently. Capable of working with clients who may lack clear requirements or documentation, utilizing creativity and strategic thinking to define and deliver project outcomes. Proficiency in Python with experience in SQL and big data technologies Proficiency in Machine Learning including supervised and unsupervised learning, deep learning frameworks such as TensorFlow and Pytorch, and model optimization techniques. Expertise in Data Analysis and Visualizations using tools like Pandas, Matplotlib, Seaborn, Plotly Strong knowledge of statistical methods and data modeling. Familiarity with Git and GitHub workflows. Familiarity with project management and tracking such as JIRA or ClickUp and test management tools. Preferred Soft & Teaching Skills Excellent verbal and written communication skills. Previous experience mentoring or teaching students or junior Data Scientists. Strong analytical and problem-solving abilities. Ability to work well in a team and collaborate effectively. Flexibility to adapt to different learning styles and student needs. Comfortable leading a team and possessing strong project organizational skills. Evening availability (US Eastern Time) . Strong presentation skills for team meetings, 1:1 meetings, and stakeholder presentations. Additional Helpful Experience: AI and NLP: Demonstrated experience with Large Language Models (LLMs) and NLP tools, such as GPT, BERT, T5, Hugging Face Transformers, etc. Familiarity with dashboarding tools like Microsoft Excel, Power BI and Tableau. What we can offer you Full remote position $50 per hour (gross), part-time contractor opportunity with 20+ hours per week. Experience in a high growth EdTech company focusing on the US market. A comfortable digital office. We use modern digital tools - Mattermost, Miro, Notion, Zoom - to make working together seamless. Growth. Our company is expanding quickly, so it's a great time to get on board and challenge yourself Internationally distributed team. Exceptional teammates, who love what they do Disclosures *At this time we are unable to offer H1B sponsorship opportunities. **This description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities at any time. ***TripleTen is an equal employment opportunity/affirmative action employer and considers qualified applicants for employment without regard to race, color, religion, sex, national original, age, religion, disability, marital status, sexual orientation, gender identity/expression, protected military/veteran status, or any other legally protected factor.

Created: 2024-11-05